Data Analyst

Job Overview: We are looking for a highly skilled and motivated Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data analytics, with proficiency in Power BI, Power Apps, Python scripting, and SQL. The Data Analyst will be responsible for analyzing complex datasets, creating insightful dashboards, and developing automated solutions to drive data-driven decision-making across the organization. Key Responsibilities: Data Analysis & Reporting: Analyze large datasets to identify trends, patterns, and insights to support strategic decision-making. Dashboard Development: Design and develop interactive dashboards and visualizations using Power BI to communicate findings effectively to stakeholders. Automation & Scripting: Utilize Python scripting to automate data processing, cleaning, and analysis tasks. Database Management: Write, optimize, and maintain SQL queries to extract, manipulate, and analyze data from various databases. App Development: Develop and maintain low-code/no-code applications using Power Apps to streamline business processes and improve data accessibility. Data Quality & Integrity: Ensure data accuracy and consistency across all reports, dashboards, and analytical outputs. Collaboration: Work closely with cross-functional teams, including finance, marketing, operations, and IT, to understand data requirements and deliver actionable insights. Continuous Improvement: Identify opportunities to improve data analysis processes and tools and implement innovative solutions. Qualifications: Bachelor's degree in Data Science, Computer Science, Statistics, Information Technology, or a related field. 2 years of experience in a data analysis or similar role. Strong proficiency in Power BI for data visualization and dashboard creation. Experience with Power Apps for developing applications and automating workflows. Proficiency in Python scripting for data analysis and automation tasks. Strong knowledge of SQL for querying, data manipulation, and database management. Experience with data modeling, data warehousing, and ETL processes. Familiarity with cloud-based data platforms (e.g., Azure, AWS) is a plus. Excellent analytical and problem-solving skills with attention to detail. Strong communication skills and the ability to present complex data insights to non-technical stakeholders. Preferred Skills: Advanced expertise in Power BI for complex data visualization and report creation. Proficient in creating and managing custom applications using Power Apps to automate business processes. Experience in developing and optimizing Python scripts for data analysis, automation, and workflow improvements. Strong background in writing and optimizing SQL queries for complex data retrieval, manipulation, and analysis. Experience with ETL (Extract, Transform, Load) processes and data integration. Familiarity with data visualization best practices to ensure clear and effective communication of insights. Understanding of data modeling techniques to support the creation of efficient, scalable analytical solutions. Personal Attributes: Analytical mindset: Able to think critically and approach data with curiosity and rigor. Detail-oriented: Thorough in ensuring data accuracy and quality. Collaborative: Comfortable working in a team environment and across departments. Self-motivated: Able to work independently and manage multiple tasks simultaneously. Adaptable: Willing to learn new tools and technologies as needed. What We Offer: - Competitive salary and benefits package. - Opportunities for professional development and career growth. - Collaborative and inclusive work environment. - Flexible work arrangements (2/3 days a week remote)